---
title: "Crosstalk File 5"
author: "ADJ: Interactive Maps"
date: "9/26/2022"
output:
flexdashboard::flex_dashboard:
theme: paper
source_code: embed
---
```{r setup, include=FALSE}
# setting up R Markdown options
# We want to hide the code and only see the results
knitr::opts_chunk$set(echo = F)
# We don't want to see any warnings from our code
knitr::opts_chunk$set(warning = F)
# We don't want to see any messages
knitr::opts_chunk$set(message = F)
```
```{r install_packages}
# You must have the flexdashboard package installed
# Before knitting this R Markdown file
# install.packages("flexdashboard")
# This function checks if you don't have the correct packages installed yet
# If not, it will install it for you
packages <- c("tidyverse", "flexdashboard",
"crosstalk", "leaflet", "DT")
if (length(setdiff(packages, rownames(installed.packages()))) > 0) {
install.packages(setdiff(packages, rownames(installed.packages())), repos = "http://cran.us.r-project.org")
}
library(tidyverse)
library(flexdashboard)
library(crosstalk)
library(leaflet)
library(DT)
```
```{r load_and_clean_data}
# This example focuses on Louisiana
# Come back to this later if you want
# to change the state we're visualizing
# NOTE: You'll need to change the starting
# latitude and longitude of the map code below
state <- read_csv("data/all_pharmacies_summarized.csv") %>%
filter(BUYER_STATE=="LA") %>%
select(-BUYER_ADDL_CO_INFO, -BUYER_ADDRESS2) %>%
arrange(desc(per_person))
st <- SharedData$new(state)
```
Opioids in State {data-icon="ion-stats-bars"}
=====================================
Column {data-width=200}
-------------------------------------
### Filters
```{r filter_section}
filter_select(
id = "BUYER_COUNTY",
label = "County",
sharedData = st,
group = ~BUYER_COUNTY
)
bscols(
filter_checkbox(
id = "BUYER_BUS_ACT",
label = "Pharmacy type",
sharedData = st,
group = ~BUYER_BUS_ACT
)
)
bscols(
filter_slider(
id = "per_person",
label = "Pills per resident",
sharedData = st,
column = ~per_person,
step = 10,
round = TRUE,
sep = "",
ticks = FALSE
)
)
```
Column {data-width=800}
-------------------------------------
### Datatable
```{r filterable_table}
st %>%
DT::datatable(
filter = "top", # allows filtering on each column
extensions = c(
"Buttons", # add download buttons, etc
"Scroller" # for scrolling down the rows rather than pagination
),
rownames = FALSE, # remove rownames
style = "bootstrap",
class = "compact",
width = "100%",
options = list(
dom = "Blrtip", # specify content (search box, etc)
deferRender = TRUE,
scrollY = 300,
scroller = TRUE,
columnDefs = list(
list(
visible = FALSE,
targets = c(1,3,4, 7, 10)
)
),
buttons = list(
I("colvis"), # turn columns on and off
"csv", # download as .csv
"excel" # download as .xlsx
)
),
colnames = c(
"County" = "BUYER_COUNTY",
"City" = "BUYER_CITY",
"DEA number" = "BUYER_DEA_NO",
"Type" = "BUYER_BUS_ACT",
"Buyer name" = "BUYER_NAME",
"Address" = "BUYER_ADDRESS1",
"Per person" = "per_person",
"Total dosages" = "total_dosage_unit",
"Total orders" = "total_records",
"Average population" = "average_population",
"Zip code" = "BUYER_ZIP"
)
)
```
### Interactive map
```{r interactive_map}
st %>%
leaflet() %>%
addProviderTiles("CartoDB.Positron") %>%
setView(-92.469698, 31.012156, zoom = 7) %>%
addCircles(
popup = ~paste0("<strong>", state$BUYER_NAME ,"</strong><br />",
state$BUYER_CITY, "<br />",
state$per_person, " average pills per person<br />
<img src='http://www.andrewbatran.com/nicar/la_minicharts/plot_",
state$BUYER_DEA_NO, ".png' width=200px height=150px/>"),
radius=sqrt(state$per_person)*1000,
stroke=FALSE,
opacity=.5
)
```